Dossier

MCP server for dossier automation standard - enables LLMs to discover, verify, and execute dossiers

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "dossier": {
      "command": "npx",
      "args": [
        "-y",
        "@ai-dossier/cli"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

Dossier — Portable, Signed Skills for Any AI Agent

Skills are easy to write. Dossiers make them trustworthy, versioned, and portable across every LLM tool.

Quick Concept A dossier is a skill — a reusable instruction set an AI executes — with trust, versioning, and cross-tool portability built in. Think npm or Docker Hub, but for AI skills: signed, versioned, shareable.

Code

  ┌──────────────────────────────────────────────────────────────────────┐
  │                                                                      │
  │    Write instructions       Verify integrity       AI executes       │
  │    in Markdown (.ds.md)     with checksums &       the workflow      │
  │                             signatures             intelligently     │
  │                                                                      │
  │    ┌──────────┐    sign     ┌──────────┐   run     ┌──────────┐     │
  │    │  Author  │ ─────────> │  Verify  │ ────────> │ AI Agent │     │
  │    └──────────┘            └──────────┘            └──────────┘     │
  │         │                       │                       │            │
  │     .ds.md file            checksum +              validated         │
  │     with JSON              signature               results with     │
  │     frontmatter            verification            evidence         │
  │                                                                      │
  └──────────────────────────────────────────────────────────────────────┘

New here? → 5-min Quick Start | Using Claude Code? → MCP in 60 Seconds | Want to try now? → Get started in 30 seconds

At a Glance

mermaid

flowchart LR
    A["📝 Create\n.ds.md file"] --> B["🔏 Sign\nchecksum +\nsignature"]
    B --> C["✅ Verify\nintegrity &\nauthenticity"]
    C --> D["🤖 Execute\nAI runs the\nworkflow"]
    D --> E["📋 Validate\nsuccess criteria\n& evidence"]

    style A fill:#e3f2fd,stroke:#1565c0,color:#0d47a1
    style B fill:#fce4ec,stroke:#c62828,color:#b71c1c
    style C fill:#fff3e0,stroke:#ef6c00,color:#e65100
    style D fill:#e8f5e9,stroke:#2e7d32,color:#1b5e20
    style E fill:#f3e5f5,stroke:#6a1b9a,color:#4a148c

What: Skills (.ds.md files) any AI agent can run — signed, versioned, portable across tools Why: A plain skill lives in one tool and anyone can tamper with it; a dossier is that same skill made verifiable, version-pinned, and shareable Safety: Built-in checksums, cryptographic signatures, and CLI verification tools Works with: Claude, ChatGPT, Cursor, any LLM — no vendor lock-in

Status: Protocol v1.0 (stable spec) | CLI v0.14.0 | 15+ example skills | Active development

File conventions: Dossiers use .ds.md (immutable instructions) and .dsw.md (mutable working files). Frontmatter uses ---dossier (JSON) instead of --- (YAML) to avoid parser conflicts. Learn more

Get Started

1. Run a dossier — zero install

Pick any LLM you already have and paste this:

Code

Analyze my project using the dossier at:
https://raw.githubusercontent.com/imboard-ai/ai-dossier/main/examples/guides/context-engineering-best-practices.ds.md

That's it. The LLM reads the dossier and follows its instructions — no tools needed.

Want to verify it first?

Terminal

npx @ai-dossier/cli verify https://raw.githubusercontent.com/imboard-ai/ai-dossier/main/examples/guides/context-engineering-best-practices.ds.md

2. Add the MCP server to Claude Code

One command gives Claude Code native dossier support — discover, verify, and execute dossiers without copy-pasting URLs:

Terminal

claude mcp add dossier --scope user -- npx @ai-dossier/mcp-server

Then ask Claude: "List available dossiers" or "Run the scaffold-typescript-project dossier".

Alternative: Claude Code plugin (auto-updates)

Code

/plugin marketplace add imboard-ai/ai-dossier
/plugin install dossier-mcp-server@ai-dossier

Alternative: Manual JSON config (Claude Desktop or other MCP clients)

Add to claude_desktop_config.json or your MCP client's config file:

config.json

{
  "mcpServers": {
    "dossier": {
      "command": "npx",
      "args": ["-y", "@ai-dossier/mcp-server"]
    }
  }
}

3. Create your own dossier

Initialize dossier in your project (sets up ~/.dossier/, hooks, and MCP config):

Terminal

npx @ai-dossier/cli init

Then create a dossier:

Terminal

npx @ai-dossier/cli create my-workflow

This scaffolds a .ds.md file you can edit. A dossier is just Markdown with a JSON frontmatter block:

markdown

---dossier
{
  "title": "My Workflow",
  "version": "1.0.0",
  "protocol_version": "1.0",
  "status": "draft",
  "objective": "Describe what this automates",
  "risk_level": "low"
}
---

# My Workflow

## Actions
1. Step one — what to do
2. Step two — what to verify

## Validation
- Expected outcome was achieved

See the Authoring Guide for the full spec, or browse the Dossier Registry for real-world examples.

Why Use Dossier?

"Isn't this just a skill?" Yes — a dossier is a skill. The difference is everything a plain skill (like a Claude Code SKILL.md) lacks:

	Plain skill (`SKILL.md`)	Dossier
Trust	Unsigned — anyone can tamper	Checksum + cryptographic signature, verified before run
Versioning	Informal	Semantic versioning you can pin
Distribution	Copy-paste / per-tool	Registry — discoverable, `ai-dossier install-skill`
Portability	Locked to one tool	Same file runs on Claude, ChatGPT, Cursor, any LLM
Validation	None	Built-in success criteria

Trigger skills bridge the two: a thin SKILL.md whose job is to invoke a versioned, signed dossier (ai-dossier run <registry-path>) — you keep the natural-language trigger and gain signing, versioning, and registry distribution.

"How about AGENTS.md files?" Different job: AGENTS.md explains your project; a dossier automates a workflow. They're complementary.

Architecture

mermaid

graph TB
    subgraph Packages["@ai-dossier packages"]
        Core["@ai-dossier/core\nParsing, verification,\nlinting, risk assessment"]
        CLI["@ai-dossier/cli\nCommand-line tool\nverify, sign, search, run"]
        MCP["@ai-dossier/mcp-server\nMCP integration for\nClaude Code & others"]
        Registry["@ai-dossier/registry\nVercel serverless API\nDiscover & publish"]
    end

    subgraph Inputs["Dossier Files"]
        DS[".ds.md\nImmutable instructions\nJSON frontmatter + Markdown"]
        DSW[".dsw.md\nMutable working files\nExecution state"]
    end

    subgraph Consumers["AI Agents"]
        Claude["Claude Code"]
        ChatGPT["ChatGPT"]
        Cursor["Cursor"]
        Other["Any LLM"]
    end

    DS --> Core
    DSW --> Core
    Core --> CLI
    Core --> MCP
    CLI --> Registry
    MCP --> Claude
    MCP --> ChatGPT
    MCP --> Cursor
    MCP --> Other
    CLI -->|"verify & run"| Consumers

    style Core fill:#e3f2fd,stroke:#1565c0,color:#0d47a1
    style CLI fill:#e8f5e9,stroke:#2e7d32,color:#1b5e20
    style MCP fill:#fff3e0,stroke:#ef6c00,color:#e65100
    style Registry fill:#f3e5f5,stroke:#6a1b9a,color:#4a148c
    style DS fill:#fff9c4,stroke:#f9a825,color:#f57f17
    style DSW fill:#fff9c4,stroke:#f9a825,color:#f57f17

Verification Pipeline

Every dossier goes through a multi-stage security pipeline before execution:

mermaid

flowchart TD
    Start(["dossier verify file.ds.md"]) --> Parse["Parse frontmatter\n+ Markdown body"]
    Parse --> Checksum{"Checksum\nverification"}

    Checksum -->|"SHA-256 match"| SigCheck{"Signature\nverification"}
    Checksum -->|"mismatch"| Block["BLOCK execution\nContent tampered"]

    SigCheck -->|"valid + trusted"| Risk["Risk assessment"]
    SigCheck -->|"valid + untrusted"| Risk
    SigCheck -->|"unsigned"| Risk
    SigCheck -->|"invalid"| Block

    Risk -->|"low"| Safe["SAFE to execute"]
    Risk -->|"medium/high"| Caution["PROCEED with caution"]
    Risk -->|"critical + unsigned"| Block

    style Start fill:#e3f2fd,stroke:#1565c0,color:#0d47a1
    style Safe fill:#e8f5e9,stroke:#2e7d32,color:#1b5e20
    style Caution fill:#fff3e0,stroke:#ef6c00,color:#e65100
    style Block fill:#ffebee,stroke:#c62828,color:#b71c1c
    style Checksum fill:#f5f5f5,stroke:#616161,color:#212121
    style SigCheck fill:#f5f5f5,stroke:#616161,color:#212121
    style Risk fill:#f5f5f5,stroke:#616161,color:#212121

See ARCHITECTURE.md for the full system architecture.

Examples

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

npm downloads

9.2k

Package downloads in the last 30 days.

Last commit

4d ago

Most recent push to the default branch.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Dossier

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "dossier": { "command": "npx", "args": ["-y","@ai-dossier/cli"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

12/12 checks healthy over the last 46d

47Quality signal: Fair · 47/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools16/30

Adoption & activity9/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 3d ago via OSV.dev · @ai-dossier/cli (npm)

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More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to Dossier →Install in Claude Desktop Install in Cursor Install in VS Code Setup guides for all 13 MCP clients

Dossier

MCP server for dossier automation standard - enables LLMs to discover, verify, and execute dossiers

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "dossier": {
      "command": "npx",
      "args": [
        "-y",
        "@ai-dossier/cli"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

Dossier — Portable, Signed Skills for Any AI Agent

Skills are easy to write. Dossiers make them trustworthy, versioned, and portable across every LLM tool.

Quick Concept A dossier is a skill — a reusable instruction set an AI executes — with trust, versioning, and cross-tool portability built in. Think npm or Docker Hub, but for AI skills: signed, versioned, shareable.

Code

  ┌──────────────────────────────────────────────────────────────────────┐
  │                                                                      │
  │    Write instructions       Verify integrity       AI executes       │
  │    in Markdown (.ds.md)     with checksums &       the workflow      │
  │                             signatures             intelligently     │
  │                                                                      │
  │    ┌──────────┐    sign     ┌──────────┐   run     ┌──────────┐     │
  │    │  Author  │ ─────────> │  Verify  │ ────────> │ AI Agent │     │
  │    └──────────┘            └──────────┘            └──────────┘     │
  │         │                       │                       │            │
  │     .ds.md file            checksum +              validated         │
  │     with JSON              signature               results with     │
  │     frontmatter            verification            evidence         │
  │                                                                      │
  └──────────────────────────────────────────────────────────────────────┘

New here? → 5-min Quick Start | Using Claude Code? → MCP in 60 Seconds | Want to try now? → Get started in 30 seconds

At a Glance

mermaid

flowchart LR
    A["📝 Create\n.ds.md file"] --> B["🔏 Sign\nchecksum +\nsignature"]
    B --> C["✅ Verify\nintegrity &\nauthenticity"]
    C --> D["🤖 Execute\nAI runs the\nworkflow"]
    D --> E["📋 Validate\nsuccess criteria\n& evidence"]

    style A fill:#e3f2fd,stroke:#1565c0,color:#0d47a1
    style B fill:#fce4ec,stroke:#c62828,color:#b71c1c
    style C fill:#fff3e0,stroke:#ef6c00,color:#e65100
    style D fill:#e8f5e9,stroke:#2e7d32,color:#1b5e20
    style E fill:#f3e5f5,stroke:#6a1b9a,color:#4a148c

Status: Protocol v1.0 (stable spec) | CLI v0.14.0 | 15+ example skills | Active development

File conventions: Dossiers use .ds.md (immutable instructions) and .dsw.md (mutable working files). Frontmatter uses ---dossier (JSON) instead of --- (YAML) to avoid parser conflicts. Learn more

Get Started

1. Run a dossier — zero install

Pick any LLM you already have and paste this:

Code

Analyze my project using the dossier at:
https://raw.githubusercontent.com/imboard-ai/ai-dossier/main/examples/guides/context-engineering-best-practices.ds.md

That's it. The LLM reads the dossier and follows its instructions — no tools needed.

Want to verify it first?

Terminal

npx @ai-dossier/cli verify https://raw.githubusercontent.com/imboard-ai/ai-dossier/main/examples/guides/context-engineering-best-practices.ds.md

2. Add the MCP server to Claude Code

One command gives Claude Code native dossier support — discover, verify, and execute dossiers without copy-pasting URLs:

Terminal

claude mcp add dossier --scope user -- npx @ai-dossier/mcp-server

Then ask Claude: "List available dossiers" or "Run the scaffold-typescript-project dossier".

Alternative: Claude Code plugin (auto-updates)

Code

/plugin marketplace add imboard-ai/ai-dossier
/plugin install dossier-mcp-server@ai-dossier

Alternative: Manual JSON config (Claude Desktop or other MCP clients)

Add to claude_desktop_config.json or your MCP client's config file:

config.json

{
  "mcpServers": {
    "dossier": {
      "command": "npx",
      "args": ["-y", "@ai-dossier/mcp-server"]
    }
  }
}

3. Create your own dossier

Initialize dossier in your project (sets up ~/.dossier/, hooks, and MCP config):

Terminal

npx @ai-dossier/cli init

Then create a dossier:

Terminal

npx @ai-dossier/cli create my-workflow

This scaffolds a .ds.md file you can edit. A dossier is just Markdown with a JSON frontmatter block:

markdown

---dossier
{
  "title": "My Workflow",
  "version": "1.0.0",
  "protocol_version": "1.0",
  "status": "draft",
  "objective": "Describe what this automates",
  "risk_level": "low"
}
---

# My Workflow

## Actions
1. Step one — what to do
2. Step two — what to verify

## Validation
- Expected outcome was achieved

See the Authoring Guide for the full spec, or browse the Dossier Registry for real-world examples.

Why Use Dossier?

"Isn't this just a skill?" Yes — a dossier is a skill. The difference is everything a plain skill (like a Claude Code SKILL.md) lacks:

	Plain skill (`SKILL.md`)	Dossier
Trust	Unsigned — anyone can tamper	Checksum + cryptographic signature, verified before run
Versioning	Informal	Semantic versioning you can pin
Distribution	Copy-paste / per-tool	Registry — discoverable, `ai-dossier install-skill`
Portability	Locked to one tool	Same file runs on Claude, ChatGPT, Cursor, any LLM
Validation	None	Built-in success criteria

"How about AGENTS.md files?" Different job: AGENTS.md explains your project; a dossier automates a workflow. They're complementary.

Architecture

mermaid

graph TB
    subgraph Packages["@ai-dossier packages"]
        Core["@ai-dossier/core\nParsing, verification,\nlinting, risk assessment"]
        CLI["@ai-dossier/cli\nCommand-line tool\nverify, sign, search, run"]
        MCP["@ai-dossier/mcp-server\nMCP integration for\nClaude Code & others"]
        Registry["@ai-dossier/registry\nVercel serverless API\nDiscover & publish"]
    end

    subgraph Inputs["Dossier Files"]
        DS[".ds.md\nImmutable instructions\nJSON frontmatter + Markdown"]
        DSW[".dsw.md\nMutable working files\nExecution state"]
    end

    subgraph Consumers["AI Agents"]
        Claude["Claude Code"]
        ChatGPT["ChatGPT"]
        Cursor["Cursor"]
        Other["Any LLM"]
    end

    DS --> Core
    DSW --> Core
    Core --> CLI
    Core --> MCP
    CLI --> Registry
    MCP --> Claude
    MCP --> ChatGPT
    MCP --> Cursor
    MCP --> Other
    CLI -->|"verify & run"| Consumers

    style Core fill:#e3f2fd,stroke:#1565c0,color:#0d47a1
    style CLI fill:#e8f5e9,stroke:#2e7d32,color:#1b5e20
    style MCP fill:#fff3e0,stroke:#ef6c00,color:#e65100
    style Registry fill:#f3e5f5,stroke:#6a1b9a,color:#4a148c
    style DS fill:#fff9c4,stroke:#f9a825,color:#f57f17
    style DSW fill:#fff9c4,stroke:#f9a825,color:#f57f17

Verification Pipeline

Every dossier goes through a multi-stage security pipeline before execution:

mermaid

flowchart TD
    Start(["dossier verify file.ds.md"]) --> Parse["Parse frontmatter\n+ Markdown body"]
    Parse --> Checksum{"Checksum\nverification"}

    Checksum -->|"SHA-256 match"| SigCheck{"Signature\nverification"}
    Checksum -->|"mismatch"| Block["BLOCK execution\nContent tampered"]

    SigCheck -->|"valid + trusted"| Risk["Risk assessment"]
    SigCheck -->|"valid + untrusted"| Risk
    SigCheck -->|"unsigned"| Risk
    SigCheck -->|"invalid"| Block

    Risk -->|"low"| Safe["SAFE to execute"]
    Risk -->|"medium/high"| Caution["PROCEED with caution"]
    Risk -->|"critical + unsigned"| Block

    style Start fill:#e3f2fd,stroke:#1565c0,color:#0d47a1
    style Safe fill:#e8f5e9,stroke:#2e7d32,color:#1b5e20
    style Caution fill:#fff3e0,stroke:#ef6c00,color:#e65100
    style Block fill:#ffebee,stroke:#c62828,color:#b71c1c
    style Checksum fill:#f5f5f5,stroke:#616161,color:#212121
    style SigCheck fill:#f5f5f5,stroke:#616161,color:#212121
    style Risk fill:#f5f5f5,stroke:#616161,color:#212121

See ARCHITECTURE.md for the full system architecture.

Examples

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

npm downloads

9.2k

Package downloads in the last 30 days.

Last commit

4d ago

Most recent push to the default branch.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Dossier

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "dossier": { "command": "npx", "args": ["-y","@ai-dossier/cli"] } }

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Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

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Technical Specs & Signals

CategoryDeveloper Tools

12/12 checks healthy over the last 46d

47Quality signal: Fair · 47/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools16/30

Adoption & activity9/15

Community engagement0/10

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 3d ago via OSV.dev · @ai-dossier/cli (npm)

★ Spotlight Slot

Feature Your MCP Server

Get maximum visibility for your server across our directory, search results, and detail pages.

Spotlight Your Server

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to Dossier →Install in Claude Desktop Install in Cursor Install in VS Code Setup guides for all 13 MCP clients